CVE-2026-41712 ChatMemory DEFAULT_CONVERSATION_ID causes unintended cross-user data leakage
High 7.5
Published
Updated
Check this codebase for CVE-2026-41712 and fix it if it is affected.
What it is: CVE-2026-41712 is a high-severity vulnerability in VMware Spring AI, published on 12 May 2026. An attacker can exploit it over the internet without logging in, with no action from the victim.
Exploitation: There is no known exploitation of CVE-2026-41712 in the wild and no public exploit code.
Affected packages and fixed versions:
- org.springframework.ai:spring-ai-advisors-vector-store (Maven): affected all versions; fixed in 1.0.7
- org.springframework.ai:spring-ai-advisors-vector-store (Maven): affected all versions; fixed in 1.0.7
- org.springframework.ai:spring-ai-advisors-vector-store (Maven): affected from 1.1.0-M1; fixed in 1.1.6
- org.springframework.ai:spring-ai-advisors-vector-store (Maven): affected from 1.1.0-M1; fixed in 1.1.6
- org.springframework.ai:spring-ai-advisors-vector-store (Maven): affected from 2.0.0-M1; fixed in 2.0.0-M6
- org.springframework.ai:spring-ai-advisors-vector-store (Maven): affected from 2.0.0-M1; fixed in 2.0.0-M6
- org.springframework.ai:spring-ai-client-chat (Maven): affected all versions; fixed in 1.0.7
- org.springframework.ai:spring-ai-client-chat (Maven): affected all versions; fixed in 1.0.7
- org.springframework.ai:spring-ai-client-chat (Maven): affected from 1.1.0-M1; fixed in 1.1.6
- org.springframework.ai:spring-ai-client-chat (Maven): affected from 1.1.0-M1; fixed in 1.1.6
- org.springframework.ai:spring-ai-client-chat (Maven): affected from 2.0.0-M1; fixed in 2.0.0-M6
- org.springframework.ai:spring-ai-client-chat (Maven): affected from 2.0.0-M1; fixed in 2.0.0-M6
Task:
1. Search the dependency manifests and lockfiles (for example package.json, package-lock.json, requirements.txt, poetry.lock, uv.lock, pom.xml, build.gradle, go.mod, Cargo.lock, Gemfile.lock) and any Dockerfiles for the affected packages, including transitive dependencies.
2. If an affected version is in use, upgrade it to the fixed version for its release line with the project's package manager, so the lockfile is regenerated. Prefer the smallest upgrade that fixes it.
3. If there is no fix, or the upgrade would break the build, do not guess: explain the risk and the safest workaround instead.
4. Run the tests and summarise what changed and why.
5. If nothing in the project is affected, say so and change nothing.
Reference: https://insights.sbomify.com/CVE-2026-41712/ (Markdown: https://insights.sbomify.com/CVE-2026-41712/index.md)
Spring AI's default chat memory ID allows attackers to access other users' conversation data due to improper authorization checks.
- Exploited in the wild
- Not known
- Login needed
- Not needed
- Attackable
- Over the internet
- Victim action needed
- Not needed
- Fix
- Available
What is CVE-2026-41712?
CVE-2026-41712 is a high-severity vulnerability in VMware Spring AI, published on 12 May 2026. An attacker can exploit it over the internet without logging in, with no action from the victim.
Official description
Spring AI's chat memory component contained a problematic default that, when not explicitly overridden, could result in unintended data exposure between users.
Weakness: CWE-276
Which versions are affected by CVE-2026-41712?
18 open source packages ship an affected version, including org.springframework.ai:spring-ai-advisors-vector-store, org.springframework.ai:spring-ai-client-chat and org.springframework.ai:spring-ai-model. It affects 1 product.
| Package | Affected | Fixed in |
|---|---|---|
org.springframework.ai:spring-ai-advisors-vector-store Maven | All versions | 1.0.7 |
org.springframework.ai:spring-ai-advisors-vector-store Maven | All versions | 1.0.7 |
org.springframework.ai:spring-ai-advisors-vector-store Maven | From 1.1.0-M1 | 1.1.6 |
org.springframework.ai:spring-ai-advisors-vector-store Maven | From 1.1.0-M1 | 1.1.6 |
org.springframework.ai:spring-ai-advisors-vector-store Maven | From 2.0.0-M1 | 2.0.0-M6 |
org.springframework.ai:spring-ai-advisors-vector-store Maven | From 2.0.0-M1 | 2.0.0-M6 |
12 more packages
org.springframework.ai:spring-ai-client-chat Maven | All versions | 1.0.7 |
org.springframework.ai:spring-ai-client-chat Maven | All versions | 1.0.7 |
org.springframework.ai:spring-ai-client-chat Maven | From 1.1.0-M1 | 1.1.6 |
org.springframework.ai:spring-ai-client-chat Maven | From 1.1.0-M1 | 1.1.6 |
org.springframework.ai:spring-ai-client-chat Maven | From 2.0.0-M1 | 2.0.0-M6 |
org.springframework.ai:spring-ai-client-chat Maven | From 2.0.0-M1 | 2.0.0-M6 |
org.springframework.ai:spring-ai-model Maven | All versions | 1.0.7 |
org.springframework.ai:spring-ai-model Maven | All versions | 1.0.7 |
org.springframework.ai:spring-ai-model Maven | From 1.1.0-M1 | 1.1.6 |
org.springframework.ai:spring-ai-model Maven | From 1.1.0-M1 | 1.1.6 |
org.springframework.ai:spring-ai-model Maven | From 2.0.0-M1 | 2.0.0-M6 |
org.springframework.ai:spring-ai-model Maven | From 2.0.0-M1 | 2.0.0-M6 |
Products include Vmware Spring Ai.
How do I fix CVE-2026-41712?
Upgrade org.springframework.ai:spring-ai-advisors-vector-store to a fixed version for your release line: 1.0.7, 1.1.6 or 2.0.0-M6.
Is CVE-2026-41712 being exploited?
There is no known exploitation of CVE-2026-41712 in the wild and no public exploit code.
Other vulnerabilities in VMware Spring AI
- CVE-2026-22738 SpEL Injection via Unescaped Filter Key in SimpleVectorStore Leads to Remote Code Execution
- CVE-2026-40978 Spring AI has SQL Injection in CosmosDBVectorStore.doDelete()
- CVE-2026-22730 CVE-2026-22730: SQL Injection in Spring AI MariaDBFilterExpressionConverter
- CVE-2026-47835 Spring AI vector store metadata filtering to handle special characters in Elasticsearch, OpenSearch, and GemFire Vector Stores
- CVE-2026-41705 Spring AI's MilvusVectorStore#doDelete(List) implementation is vulnerable to filter-expression injection via unsanitized document IDs
Sources
Also known as GHSA-q62f-h9x2-gcqc, MINI-84p7-85g3-2gw7, MINI-8w5v-4vc9-v7h5.